On the impact of mode transition on phased transactional memory performance

• Autor(a) principal: Munoz Morales, Catalina
• Data de Publicação: 2023
• Outros Autores: Honorio, Bruno, de Carvalho, Joao P.L., Baldassin, Alexandro [UNESP], Araujo, Guido
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1016/j.jpdc.2022.11.009; http://hdl.handle.net/11449/248135
• topic: Hardware transactional memory; Software transactional memory

Several transactional memory implementations that employ state-of-the-art software and hardware techniques to deliver performance have been investigated in the last decade. Phased-based Transactional Memory (PhTM) systems run transactions in phases, such that all transactions in a phase execute in the same (hardware/software) mode. In PhTM, a runtime monitors the execution and decides when to change all transactions to another execution mode. Identifying the right moment to perform a mode transition is a central problem to achieve performance in PhTM systems. This article analyzes PhTM and provides a characterization of mode transitions and their impact on performance. We consider three PhTM implementations: (i) PhTM*, the first phased-based TM designed; (ii) Commit Throughput Measurement (CTM), a general-purpose runtime; and (iii) GoTM, a Graph-oriented runtime. We conduct a performance analysis to identify the drawbacks and benefits of each PhTM implementation with respect to their associated parameters. Results with speedups of up to 10× over the sequential baseline for CTM show that this mechanism generally shows better performance for a diverse set of applications.